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Data Collection Investigation Checklist Year Level Standa rd Poi nt Val ue Complete d Evidence of data displays eg.) column graph, line graph, etc. 7 1 Evidence of a stem-and-leaf or dot plot 7 1 Evidence of the calculation of the mean, median, mode and range of the set of data 7 1 Description of median, mean and range of a set of data 7 1 Description of population vs. sample and how collected data might be affected 8 2 Description of census, sample and observation and how collected data might be affected 8 2 Identification of outlying data 8 2 Description of how outlying data may have affected the range, mean and median 8 2 Evidence of a back-to-back stem-and-leaf plots or histogram 9 3 Description of back-to-back data as ‘skewed’, ‘symmetric’ or ‘bi-modal’ 9 3 Comparing back-to-back data displays using mean, median and range 9 3 Evidence of calculating quartiles and interquartile range 10 4 Evidence of the construction of box plots 10 4 Compare 2 box plots and discuss distribution of data 10 4 Use scatter plots to comment on relationships between 2 numerical variables 10 4 Calculate standard deviation of a set of data 10A 5 Evidence of the usage of standard deviation to compared 2 sets of data 10A 5 Investigate the effects of outliers on the standard deviation of set of data 10A 5 Total A+ Standard – 39+ A Standard – 30 - 38 B Standard – 22 – 29 C Standard – 13 – 21 D Standard - <12

… · Web viewData Collection Investigation ChecklistYear Level Standard Point Value Completed Evidence of data displays eg.) column graph, line graph, etc. 7 1 Evidence of a stem-and-leaf

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Data Collection Investigation Checklist Year Level

Standard

Point Value

Completed

Evidence of data displays eg.) column graph, line graph, etc. 7 1

Evidence of a stem-and-leaf or dot plot 7 1

Evidence of the calculation of the mean, median, mode and range of the set of data

7 1

Description of median, mean and range of a set of data 7 1

Description of population vs. sample and how collected data might be affected 8 2

Description of census, sample and observation and how collected data might be affected

8 2

Identification of outlying data 8 2

Description of how outlying data may have affected the range, mean and median 8 2

Evidence of a back-to-back stem-and-leaf plots or histogram 9 3

Description of back-to-back data as ‘skewed’, ‘symmetric’ or ‘bi-modal’ 9 3

Comparing back-to-back data displays using mean, median and range 9 3

Evidence of calculating quartiles and interquartile range 10 4

Evidence of the construction of box plots 10 4

Compare 2 box plots and discuss distribution of data 10 4

Use scatter plots to comment on relationships between 2 numerical variables 10 4

Calculate standard deviation of a set of data 10A 5

Evidence of the usage of standard deviation to compared 2 sets of data 10A 5

Investigate the effects of outliers on the standard deviation of set of data 10A 5

Total

A+ Standard – 39+

A Standard – 30 - 38

B Standard – 22 – 29

C Standard – 13 – 21

D Standard - <12

C Standard B Standard A Standard A+ StandardEvidence of 2 histograms

comparing 2 different data sets.

Evidence of 2 histograms comparing 2 different data

sets.

Evidence of 2 histograms comparing 2 different data

sets.

Evidence of 2 histograms comparing 2 different data

sets.Written description of the

interpretation of the distribution of the data in

the histograms.

Written description of the interpretation of the

distribution of the data in the histograms.

Written description of the interpretation of the

distribution of the data in the histograms.

Written description of the interpretation of the

distribution of the data in the histograms.

Evidence of a back-to-back stem-and-leaf plot

comparing 2 different data sets.

Evidence of a back-to-back stem-and-leaf plot

comparing 2 different data sets.

Evidence of a back-to-back stem-and-leaf plot

comparing 2 different data sets.

Evidence of a back-to-back stem-and-leaf plot

comparing 2 different data sets.

Evidence of the calculation of the

measures of centrality (mean, median, mode and range) of 2 different data

sets.

Evidence of the calculation of the

measures of centrality (mean, median, mode and range) of 2 different data

sets.

Evidence of the calculation of the

measures of centrality (mean, median, mode and range) of 2 different data

sets.

Evidence of the calculation of the

measures of centrality (mean, median, mode and range) of 2 different data

sets.Written description of the

interpretation of the measures of centrality.

Written description of the interpretation of the

measures of centrality.

Written description of the interpretation of the

measures of centrality.

Written description of the interpretation of the

measures of centrality.Identify an outlying data from the 2 different data

sets.

Identify an outlying data from the 2 different data

sets.

Identify an outlying data from the 2 different data

sets.

Identify an outlying data from the 2 different data

sets.Evidence of the

calculation of the quartiles and the interquartile

range.

Evidence of the calculation of the quartiles

and the interquartile range.

Evidence of the calculation of the quartiles

and the interquartile range.

Evidence of the construction of 2 different box plots representing the

data collected.

Evidence of the construction of 2 different box plots representing the

data collected.

Evidence of the construction of 2 different box plots representing the

data collected.Written description of the comparison of the 2 box

plots to discuss the distribution of data.

Written description of the comparison of the shape

of the 2 box plots to discuss the distribution of

data.

Written description of the comparison of the shape

of the 2 box plots to discuss the distribution of

data.Construction of a scatter plot to investigate and

comment on the relationship between 2

numerical variables.

Construction of a scatter plot to investigate and

comment on the relationship between 2

numerical variables.Evidence of the

calculation of the standard deviation of a data set.

Written description of the interpretation of the

standard deviation of 2 different data sets.